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Hire Gustavo S.

Argentina

USD 50 /hr

Computational Drug Discovery | Cheminformatics & AI

Profile Summary

PhD in Biological Chemistry specialized in cheminformatics and artificial intelligence for drug discovery. Experienced in developing predictive models for ligand–protein interactions, large-scale biomedical data analysis, and computational workflows integrating structural biology, machine learning, and chemical/biological databases. Interested in applying my expertise in the pharmaceutical, biotechnology, and healthcare industries to drive innovation in drug discovery and therapeutic development.

Subject Matter Expertise

• ☆ Computational Chemistry
• ☆ Computational Biology
• ☆ Biochemistry
• ☆ Biotechnology & Bioengineering
• ☆ Data Analysis
• ☆ Machine Learning
• ☆ Neural Networks
• ☆ Chemical Biology
• ☆ Drug Discovery
• ☆ High Throughput Screening (HTS)
• ☆ Drug Target Identification

Services

• Writing
• Research
• Consulting
• Data & AI

Writing Technical Writing

Research Scientific and Technical Research

Consulting Scientific and Technical Consulting

Data & AI Predictive Modeling, Data Mining

Work Experience

Computational Data Analysis and Interpretation Consultant for Chemical and Biological Data

Ik-Holcan

July 2024 - Present

Data Scientist / Machine Learning Specialist in Bioinformatics

Instituto de Cálculo (Facultad de Ciencias Exactas y Naturales - UBA)

April 2021 - Present

External Consultant in Data Science and Machine Learning

Bioeutectics

October 2022 - November 2024

Education

PhD in Biological Chemistry (Departamento de Química Biológica, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires)

Universidad de Buenos Aires

April 2021 - August 2025

Bachelor’s degree in Biological Sciences (Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires)

Universidad de Buenos Aires

March 2011 - July 2019

Certifications

• Certification details not provided.

Publications

JOURNAL ARTICLE

Gustavo Schottlender, Sofia L. Gallino, Lucía Agüero, Juan C. Boffi, Paula Buonfiglio, Viviana Dalamon, Irina Marcovich, Agustín Carpaneto, Patricio O. Craig, Paola V. Plazas, et al. (2024). Key role of the TM2-TM3 loop in calcium potentiation of the α9α10 nicotinic acetylcholine receptor . Cellular and Molecular Life Sciences.

Gustavo Schottlender, Juan Manuel Prieto, Camila Clemente, Claudio David Schuster, Victoria Dumas, Darío Fernández Do Porto, Marcelo Adrian Martí (2024). Bacterial cytochrome P450s: a bioinformatics odyssey of substrate discovery . Frontiers in Microbiology.

Gustavo Schottlender, Jose Arturo Molina-Mora, Jhonnatan Reales-González, Erwin Camacho, Francisco Duarte-Martínez, Pablo Tsukayama, Claudio Soto-Garita, Hebleen Brenes, Estela Cordero-Laurent, Andrea Ribeiro dos Santos, et al. (2023). Overview of the SARS-CoV-2 genotypes circulating in Latin America during 2021 . Frontiers in Public Health.

Gustavo Schottlender, Juan Manuel Prieto, Miranda Clara Palumbo, Florencia A. Castello, Federico Serral, Ezequiel J. Sosa, Adrián G. Turjanski, Marcelo A. Martì, Darío Fernández Do Porto (2022). From drugs to targets: Reverse engineering the virtual screening process on a proteomic scale . Frontiers in Drug Discovery.

Gustavo Schottlender, Miranda Palumbo, Ezequiel Sosa, Florencia Castello, Federico Serral, Adrián Turjanski, María Mercedes Palomino, Darío Fernández Do Porto (2022). Integrating diverse layers of omic data to identify novel drug targets in Listeria monocytogenes . Frontiers in Drug Discovery.

BOOK CHAPTER

Gustavo Schottlender, Juan Manuel Prieto, Camila M. Clemente, Rafael Betanzos, Dario Fernández Do Porto, Marcelo A. Marti (2024). Docking and Bias Docking . Computer-Aided Drug Discovery and Design.